US2023384309A1PendingUtilityA1

System and method for virus detection using nanoparticles and a neural network enabled mobile device

Assignee: BRIGHAM & WOMENS HOSPITAL INCPriority: Sep 15, 2020Filed: Sep 15, 2020Published: Nov 30, 2023
Est. expirySep 15, 2040(~14.1 yrs left)· nominal 20-yr term from priority
G01N 33/56983C12Q 1/28B01L 3/502761G06T 7/0014G16H 10/40G16H 40/67G16H 50/20B01L 2200/0652B01L 2200/16G01N 2333/908G01N 2469/10B01L 2300/027G06T 2207/20084G06T 2207/30004G06T 2207/20076B01L 2200/0668B01L 3/502715B01L 2300/0896B01L 2400/046
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Claims

Abstract

A system for virus detection in a sample from a subject includes a microchip comprising at least one channel containing the sample from the subject and a mobile device. The sample is processed with nanoparticles and a catalyzer that are configured to generate gas bubbles in the presence of a target virus on a surface of the microchip. The mobile device includes a camera configured to acquire an image of the microchip containing the sample from the subject, a neural network configured to receive the acquired image and to generate a probability regarding the presence of the target virus in the sample from the subject based on the acquired image, and a display coupled to the neural network and configured to display the probability regarding presence of the target virus in the sample from the subject.

Claims

exact text as granted — not AI-modified
1 . A system for virus detection in a sample from a subject, the system comprising:
 a microchip comprising at least one channel containing the sample from the subject, wherein the sample is processed with nanoparticles and a catalyzer that are configured to generate gas bubbles in the presence of a target virus on a surface of the microchip; and   a mobile device comprising:
 a camera configured to acquire an image of the microchip containing the sample from the subject; 
 a neural network configured to receive the acquired image and to generate a probability regarding the presence of the target virus in the sample from the subject based on the acquired image; and 
 a display coupled to the neural network and configured to display the probability regarding the presence of the target virus in the sample from the subject. 
   
     
     
         2 . The system according to  claim 1 , wherein the nanoparticles are metal nanoparticles. 
     
     
         3 . The system according to  claim 2 , wherein the metal nanoparticles are one of platinum (Pt) nanoparticles, gold (Au) nanoparticles, copper (Cu) nanoparticles, iron (Fe) nanoparticles, palladium (Pd) nanoparticles, zinc (Zn) nanoparticles, cadmium (Cd) nanoparticles, and silver (Ag) nanoparticles. 
     
     
         4 . The system according to  claim 2 , wherein the nanoparticles are included in nanoprobes comprising the nanoparticles and a probe material. 
     
     
         5 . The system according to  claim 1 , wherein the nanoparticle are configured to label particles of the target virus. 
     
     
         6 . The system according to  claim 1 , wherein the catalyzer is a catalyzer solution comprising hydrogen peroxide. 
     
     
         7 . The system according to  claim 1 , wherein the mobile device is a smartphone. 
     
     
         8 . The system according to  claim 1 , wherein the neural network is a convolutional neural network. 
     
     
         9 . The system according to  claim 1 , wherein probability regarding the presence of the target virus in the sample is a probability value indicating whether the sample is positive or negative for the target virus. 
     
     
         10 . The system according to  claim 1 , wherein the microchip is modified using a probe material on a the surface of the microchip. 
     
     
         11 . A method for virus detection in a sample from a subject, the method comprising:
 loading the sample from the subject into a microchip comprising at least one channel;   processing the sample from the subject using at least nanoparticles and a catalyzer that are configured to generate gas bubbles in the presence of a target virus;   acquiring an image of the microchip containing the sample from the subject using a mobile device;   providing the acquired image to a neural network;   generating, using the neural network, a probability regarding the presence of the target virus in the sample from the subject based on the acquired image; and   displaying the probability regarding the presence of the target virus in the sample from the subject on a display.   
     
     
         12 . The method according to  claim 11 , wherein the nanoparticles are metal nanoparticles. 
     
     
         13 . The method according to  claim 12 , wherein the nanoparticles are included in nanoprobes comprising the nanoparticles and a probe material. 
     
     
         14 . The method according to  claim 11 , wherein the nanoparticle are configured to label particles of the target virus. 
     
     
         15 . The method according to  claim 11 , wherein the catalyzer is a catalyzer solution comprising hydrogen peroxide. 
     
     
         16 . The method according to  claim 11 , wherein the mobile device is a smartphone. 
     
     
         17 . The method according to  claim 11 , wherein the neural network is a convolutional neural network. 
     
     
         18 . The method according to  claim 11 , wherein probability regarding the presence of the target virus in the sample is a probability value indicating whether the sample is positive or negative for the target virus. 
     
     
         19 . The method according to  claim 11 , wherein processing the sample from the subject using at least nanoparticles and a catalyzer comprises loading the nanoparticles and the catalyzer onto the microchip using a sample processing cartridge.

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